Full-Text Search for PDFs, Word & Excel: Local, Fast & Secure

The Problem with Cloud Document Search APIs

Most modern document search systems force businesses to upload files to proprietary SaaS providers. This introduces serious drawbacks:
• Confidentiality & Privacy Risks: Uploading internal contracts, tax filings, HR records, or confidential materials to third-party services creates privacy risks and may violate organization data handling policies.
• Metered Extraction Taxes: Cloud APIs charge per page or per megabyte. When processing tens of thousands of pages, monthly costs escalate rapidly.
• Network Latency: Transferring multi-gigabyte document archives over the public internet slows down indexing pipelines.

Native Document Processing Without Apache Tika Bloat

Traditional self-hosted solutions rely on Apache Tika, which bundles dozens of external dependencies, inflates container sizes by over 100MB, and introduces frequent Common Vulnerabilities and Exposures (CVEs).

AveLynx uses a high-performance, lightweight extraction architecture:
• PDF Documents: High-speed extraction powered by Apache PDFBox 3.0.3 (~3MB JAR footprint).
• Word (.docx) & Excel (.xlsx): Native streaming XML extraction using XMLStreamReader and ZipInputStream with zero external library dependencies.
• CSV & Text: Chunked line-by-line UTF-8 streaming ingestion.
• Instant Indexing: Extracted document bodies and metadata are indexed for fast BM25 keyword and semantic search on Cloudflare's network.

Key Use Cases for Local Document Search

• Legal & Compliance Audits: Search contracts and discovery documents for clauses, signatures, and dates instantly.
• Nonprofit & Foundation Management: Index grant applications, board minutes, and tax filings (as used in our GrantPulse platform).
• Air-Gapped Research: Deploy in isolated facilities without internet access. See air-gapped search.

Deploying Document Search in Your Infrastructure

Stretchy's document extraction engine runs anywhere you deploy Docker, on on-premise servers, or embedded into custom desktop and server applications. Contact our team through the AveLynx digital card to schedule an architecture review.

Common Questions

Can it extract text from scanned PDFs?

For scanned image-based PDFs, Stretchy integrates with standard local OCR pipelines (such as Tesseract) to convert scanned pages into searchable text before indexing, maintaining total data sovereignty.

How many documents can Stretchy index on a single machine?

A modest 4-vCPU server with 8GB RAM can easily index and query hundreds of thousands of multi-page documents with fast query response times.